Academic IT support for Data Science

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)


Globally, over 500 universities now offer data science courses at undergraduate or postgraduate level and, in research-intensive universities, these courses are typically underpinned by academic research in statistics, machine learning and computer science departments and, increasingly, in multidisciplinary data science institutes. Much has been written about the academic challenges of data science from the perspective of its core academic disciplines and from its application domains, ranging from sciences and engineering through to arts and humanities. However, relatively little has been written about the institutional information technology (IT) support challenges entailed by this rapid growth in data science. This paper sets out some of these IT challenges and examines competing support strategies, service design and financial models through the lens of academic IT support services.
Original languageEnglish
Title of host publicationEUNIS 2016 Proceedings
Subtitle of host publicationEuropean University Information Systems 22nd Annual Congress
EditorsYiannis Salmatzidis
Place of PublicationThessaloniki
PublisherAristotle University of Thessaloniki, Greece
ISBN (Electronic)ISSN 2409-1340
Publication statusPublished - 11 Jun 2016
EventEUNIS 2016 - Aristotle University of Thessaloniki, Thessaloniki, Greece
Duration: 8 Jun 201610 Jun 2016


ConferenceEUNIS 2016


  • Data Science
  • management strategies


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